Literature DB >> 25408104

Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology.

Lars Boesen1, Elizaveta Chabanova2, Vibeke Løgager2, Ingegerd Balslev3, Henrik S Thomsen2.   

Abstract

PURPOSE: To evaluate the correlation between apparent diffusion coefficient measurements (ADCtumor and ADCratio ) and the Gleason score from radical prostatectomy specimens.
MATERIALS AND METHODS: Seventy-one patients with clinically localized prostate cancer scheduled for radical prostatectomy were prospectively enrolled. Multiparametric magnetic resonance imaging (MRI) was performed prior to prostatectomy and mean ADC values from both cancerous (ADCtumor ) and benign (ADCbenign ) tissue were measured to calculate the ADCratio (ADCtumor divided by ADCbenign ). The ADC measurements were correlated with the Gleason score from the prostatectomy specimens.
RESULTS: The association between ADC measurements and Gleason score showed a significant negative correlation (P < 0.001) with Spearman's rho for ADCtumor (-0.421) and ADCratio (-0.649). There was a statistically significant difference between ADC measurements and the Gleason score for all tumors (P = 0.001). Receiver operating characteristic curve analysis showed an overall area under the curve (AUC) of 0.73 (ADCtumor ) to 0.80 (ADCratio ) in discriminating Gleason score 6 from Gleason score ≥7 tumors. The AUC changed to 0.72 (ADCtumor ) and 0.90 (ADCratio ) when discriminating Gleason score ≤7(3+4) from Gleason score ≥7(4+3).
CONCLUSION: ADC measurements showed a significant correlation with tumor Gleason score at final pathology. The ADCratio demonstrated the best correlation compared to the ADCtumor value and radically improved accuracy in discriminating Gleason score ≤7(3+4) from Gleason score ≥7(4+3) tumors.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  Gleason score; diffusion-weighted MRI; prostate cancer; prostatectomy

Mesh:

Year:  2014        PMID: 25408104     DOI: 10.1002/jmri.24801

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  32 in total

1.  Utility of quantitative apparent diffusion coefficient measurements and normalized apparent diffusion coefficient ratios in the diagnosis of clinically significant peripheral zone prostate cancer.

Authors:  Tan B Nguyen; Alexander Ushinsky; Albert Yang; Michael Nguyentat; Sara Fardin; Edward Uchio; Chandana Lall; Thomas Lee; Roozbeh Houshyar
Journal:  Br J Radiol       Date:  2018-06-21       Impact factor: 3.039

2.  Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer.

Authors:  Alice C Yu; Chaitra Badve; Lee E Ponsky; Shivani Pahwa; Sara Dastmalchian; Matthew Rogers; Yun Jiang; Seunghee Margevicius; Mark Schluchter; William Tabayoyong; Robert Abouassaly; Debra McGivney; Mark A Griswold; Vikas Gulani
Journal:  Radiology       Date:  2017-02-10       Impact factor: 11.105

3.  T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results.

Authors:  Gabriel Nketiah; Mattijs Elschot; Eugene Kim; Jose R Teruel; Tom W Scheenen; Tone F Bathen; Kirsten M Selnæs
Journal:  Eur Radiol       Date:  2016-12-14       Impact factor: 5.315

4.  Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer.

Authors:  Elmira Hassanzadeh; Francesco Alessandrino; Olutayo I Olubiyi; Daniel I Glazer; Robert V Mulkern; Andriy Fedorov; Clare M Tempany; Fiona M Fennessy
Journal:  Abdom Radiol (NY)       Date:  2018-05

5.  Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone?

Authors:  Thibaut Pierre; Francois Cornud; Loïc Colléter; Frédéric Beuvon; Frantz Foissac; Nicolas B Delongchamps; Paul Legmann
Journal:  Eur Radiol       Date:  2017-11-22       Impact factor: 5.315

6.  Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.

Authors:  Jussi Toivonen; Ileana Montoya Perez; Parisa Movahedi; Harri Merisaari; Marko Pesola; Pekka Taimen; Peter J Boström; Jonne Pohjankukka; Aida Kiviniemi; Tapio Pahikkala; Hannu J Aronen; Ivan Jambor
Journal:  PLoS One       Date:  2019-07-08       Impact factor: 3.240

7.  Diffusion-weighted endorectal MR imaging at 3T for prostate cancer: correlation with tumor cell density and percentage Gleason pattern on whole mount pathology.

Authors:  Daniel I Glazer; Elmira Hassanzadeh; Andriy Fedorov; Olutayo I Olubiyi; Shayna S Goldberger; Tobias Penzkofer; Trevor A Flood; Paul Masry; Robert V Mulkern; Michelle S Hirsch; Clare M Tempany; Fiona M Fennessy
Journal:  Abdom Radiol (NY)       Date:  2017-03

8.  Everyman's prostate phantom: kiwi-fruit substitute for human prostates at magnetic resonance imaging, diffusion-weighted imaging and magnetic resonance spectroscopy.

Authors:  Ullrich G Mueller-Lisse; Sophie Murer; Ulrike L Mueller-Lisse; Marissa Kuhn; Juergen Scheidler; Michael Scherr
Journal:  Eur Radiol       Date:  2017-01-05       Impact factor: 5.315

Review 9.  Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

Authors:  Lizhi Liu; Zhiqiang Tian; Zhenfeng Zhang; Baowei Fei
Journal:  Acad Radiol       Date:  2016-04-25       Impact factor: 3.173

10.  Molecular imaging and fusion targeted biopsy of the prostate.

Authors:  Baowei Fei; Peter T Nieh; Viraj A Master; Yun Zhang; Adeboye O Osunkoya; David M Schuster
Journal:  Clin Transl Imaging       Date:  2016-12-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.